Pandas Profiling Report

Dataset statistics

Number of variables	48
Number of observations	1293
Missing cells	0
Missing cells (%)	0.0%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	485.0 KiB
Average record size in memory	384.1 B

Variable types

Numeric	17
Categorical	31

Alerts

`df_index` is highly correlated with `Id`	High correlation
`Id` is highly correlated with `df_index`	High correlation
`LotFrontage` is highly correlated with `LotArea`	High correlation
`LotArea` is highly correlated with `LotFrontage`	High correlation
`OverallQual` is highly correlated with `YearBuilt` and 4 other fields	High correlation
`YearBuilt` is highly correlated with `OverallQual` and 3 other fields	High correlation
`BsmtFinSF1` is highly correlated with `BsmtUnfSF` and 1 other fields	High correlation
`BsmtUnfSF` is highly correlated with `BsmtFinSF1` and 1 other fields	High correlation
`TotalBsmtSF` is highly correlated with `1stFlrSF` and 1 other fields	High correlation
`1stFlrSF` is highly correlated with `TotalBsmtSF` and 1 other fields	High correlation
`GrLivArea` is highly correlated with `OverallQual` and 4 other fields	High correlation
`BsmtFullBath` is highly correlated with `BsmtFinSF1` and 1 other fields	High correlation
`FullBath` is highly correlated with `OverallQual` and 5 other fields	High correlation
`BedroomAbvGr` is highly correlated with `GrLivArea` and 1 other fields	High correlation
`TotRmsAbvGrd` is highly correlated with `GrLivArea` and 3 other fields	High correlation
`GarageCars` is highly correlated with `OverallQual` and 4 other fields	High correlation
`GarageArea` is highly correlated with `GarageCars` and 1 other fields	High correlation
`SalePrice` is highly correlated with `OverallQual` and 8 other fields	High correlation
`df_index` is highly correlated with `Id`	High correlation
`Id` is highly correlated with `df_index`	High correlation
`LotFrontage` is highly correlated with `LotArea`	High correlation
`LotArea` is highly correlated with `LotFrontage`	High correlation
`OverallQual` is highly correlated with `YearBuilt` and 5 other fields	High correlation
`YearBuilt` is highly correlated with `OverallQual` and 2 other fields	High correlation
`BsmtFinSF1` is highly correlated with `BsmtUnfSF` and 1 other fields	High correlation
`BsmtUnfSF` is highly correlated with `BsmtFinSF1`	High correlation
`TotalBsmtSF` is highly correlated with `1stFlrSF` and 1 other fields	High correlation
`1stFlrSF` is highly correlated with `TotalBsmtSF` and 1 other fields	High correlation
`GrLivArea` is highly correlated with `OverallQual` and 4 other fields	High correlation
`BsmtFullBath` is highly correlated with `BsmtFinSF1`	High correlation
`FullBath` is highly correlated with `OverallQual` and 4 other fields	High correlation
`BedroomAbvGr` is highly correlated with `GrLivArea` and 1 other fields	High correlation
`TotRmsAbvGrd` is highly correlated with `GrLivArea` and 3 other fields	High correlation
`GarageCars` is highly correlated with `OverallQual` and 4 other fields	High correlation
`GarageArea` is highly correlated with `OverallQual` and 2 other fields	High correlation
`SalePrice` is highly correlated with `OverallQual` and 8 other fields	High correlation
`df_index` is highly correlated with `Id`	High correlation
`Id` is highly correlated with `df_index`	High correlation
`OverallQual` is highly correlated with `YearBuilt` and 3 other fields	High correlation
`YearBuilt` is highly correlated with `OverallQual`	High correlation
`BsmtFinSF1` is highly correlated with `BsmtFullBath`	High correlation
`TotalBsmtSF` is highly correlated with `1stFlrSF`	High correlation
`1stFlrSF` is highly correlated with `TotalBsmtSF`	High correlation
`GrLivArea` is highly correlated with `FullBath` and 2 other fields	High correlation
`BsmtFullBath` is highly correlated with `BsmtFinSF1`	High correlation
`FullBath` is highly correlated with `OverallQual` and 3 other fields	High correlation
`BedroomAbvGr` is highly correlated with `TotRmsAbvGrd`	High correlation
`TotRmsAbvGrd` is highly correlated with `GrLivArea` and 1 other fields	High correlation
`GarageCars` is highly correlated with `OverallQual` and 3 other fields	High correlation
`GarageArea` is highly correlated with `GarageCars`	High correlation
`SalePrice` is highly correlated with `OverallQual` and 3 other fields	High correlation
`MSZoning` is highly correlated with `Neighborhood`	High correlation
`Neighborhood` is highly correlated with `MSZoning` and 2 other fields	High correlation
`size` is highly correlated with `Neighborhood` and 1 other fields	High correlation
`BldgType` is highly correlated with `size`	High correlation
`GarageQual` is highly correlated with `GarageCond`	High correlation
`GarageCond` is highly correlated with `GarageQual`	High correlation
`BsmtQual` is highly correlated with `Neighborhood`	High correlation
`df_index` is highly correlated with `Id`	High correlation
`Id` is highly correlated with `df_index`	High correlation
`MSSubClass` is highly correlated with `LotArea` and 10 other fields	High correlation
`MSZoning` is highly correlated with `LotArea` and 4 other fields	High correlation
`LotFrontage` is highly correlated with `LotArea` and 1 other fields	High correlation
`LotArea` is highly correlated with `MSSubClass` and 6 other fields	High correlation
`LandContour` is highly correlated with `Neighborhood`	High correlation
`Neighborhood` is highly correlated with `MSSubClass` and 28 other fields	High correlation
`BldgType` is highly correlated with `MSSubClass` and 4 other fields	High correlation
`HouseStyle` is highly correlated with `MSSubClass` and 4 other fields	High correlation
`OverallQual` is highly correlated with `Neighborhood` and 10 other fields	High correlation
`OverallCond` is highly correlated with `Neighborhood` and 6 other fields	High correlation
`YearBuilt` is highly correlated with `MSSubClass` and 18 other fields	High correlation
`Exterior1st` is highly correlated with `Neighborhood` and 6 other fields	High correlation
`MasVnrType` is highly correlated with `Neighborhood` and 3 other fields	High correlation
`ExterQual` is highly correlated with `Neighborhood` and 10 other fields	High correlation
`ExterCond` is highly correlated with `OverallCond`	High correlation
`Foundation` is highly correlated with `MSZoning` and 6 other fields	High correlation
`BsmtQual` is highly correlated with `MSSubClass` and 11 other fields	High correlation
`BsmtCond` is highly correlated with `OverallCond`	High correlation
`BsmtFinType1` is highly correlated with `Neighborhood` and 6 other fields	High correlation
`BsmtFinSF1` is highly correlated with `BsmtFinType1` and 5 other fields	High correlation
`BsmtFinType2` is highly correlated with `BsmtFinType1`	High correlation
`BsmtUnfSF` is highly correlated with `BsmtFinType1` and 6 other fields	High correlation
`TotalBsmtSF` is highly correlated with `Neighborhood` and 7 other fields	High correlation
`HeatingQC` is highly correlated with `Neighborhood` and 3 other fields	High correlation
`1stFlrSF` is highly correlated with `LotArea` and 7 other fields	High correlation
`GrLivArea` is highly correlated with `Neighborhood` and 6 other fields	High correlation
`BsmtFullBath` is highly correlated with `BsmtFinType1` and 2 other fields	High correlation
`FullBath` is highly correlated with `MSSubClass` and 13 other fields	High correlation
`HalfBath` is highly correlated with `MSSubClass` and 1 other fields	High correlation
`BedroomAbvGr` is highly correlated with `MSSubClass` and 3 other fields	High correlation
`KitchenQual` is highly correlated with `Neighborhood` and 7 other fields	High correlation
`TotRmsAbvGrd` is highly correlated with `GrLivArea` and 3 other fields	High correlation
`Fireplaces` is highly correlated with `Neighborhood`	High correlation
`GarageType` is highly correlated with `Neighborhood` and 1 other fields	High correlation
`GarageFinish` is highly correlated with `Neighborhood` and 6 other fields	High correlation
`GarageCars` is highly correlated with `MSSubClass` and 10 other fields	High correlation
`GarageArea` is highly correlated with `Neighborhood` and 6 other fields	High correlation
`GarageQual` is highly correlated with `Foundation` and 1 other fields	High correlation
`GarageCond` is highly correlated with `GarageQual`	High correlation
`PavedDrive` is highly correlated with `Neighborhood`	High correlation
`SalePrice` is highly correlated with `MSZoning` and 18 other fields	High correlation
`size` is highly correlated with `MSSubClass` and 4 other fields	High correlation
`df_index` is uniformly distributed	Uniform
`Id` is uniformly distributed	Uniform
`df_index` has unique values	Unique
`Id` has unique values	Unique
`BsmtFinSF1` has 386 (29.9%) zeros	Zeros
`BsmtUnfSF` has 72 (5.6%) zeros	Zeros

Reproduction

Analysis started	2022-06-07 12:39:29.262253
Analysis finished	2022-06-07 12:40:40.664102
Duration	1 minute and 11.4 seconds
Software version	pandas-profiling v3.2.0
Download configuration	config.json

df_index
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
UNIFORM
UNIQUE

Distinct	1293
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	733.2552204

Minimum	0
Maximum	1459
Zeros	1
Zeros (%)	0.1%
Negative	0
Negative (%)	0.0%
Memory size	10.2 KiB

Quantile statistics

Minimum	0
5-th percentile	69.6
Q1	367
median	737
Q3	1099
95-th percentile	1388.4
Maximum	1459
Range	1459
Interquartile range (IQR)	732

Descriptive statistics

Standard deviation	422.3313701
Coefficient of variation (CV)	0.5759677645
Kurtosis	-1.193977765
Mean	733.2552204
Median Absolute Deviation (MAD)	366
Skewness	-0.01524407151
Sum	948099
Variance	178363.7862
Monotonicity	Strictly increasing

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	1	0.1%
1008	1	0.1%
985	1	0.1%
983	1	0.1%
982	1	0.1%
981	1	0.1%
980	1	0.1%
979	1	0.1%
978	1	0.1%
975	1	0.1%
Other values (1283)	1283	99.2%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	1	0.1%
1	1	0.1%
2	1	0.1%
3	1	0.1%
4	1	0.1%
5	1	0.1%
6	1	0.1%
7	1	0.1%
8	1	0.1%
9	1	0.1%

Value	Count	Frequency (%)
1459	1	0.1%
1458	1	0.1%
1457	1	0.1%
1456	1	0.1%
1455	1	0.1%
1454	1	0.1%
1452	1	0.1%
1451	1	0.1%
1448	1	0.1%
1447	1	0.1%

Id
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
UNIFORM
UNIQUE

Distinct	1293
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	734.2552204

Minimum	1
Maximum	1460
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	10.2 KiB

Quantile statistics

Minimum	1
5-th percentile	70.6
Q1	368
median	738
Q3	1100
95-th percentile	1389.4
Maximum	1460
Range	1459
Interquartile range (IQR)	732

Descriptive statistics

Standard deviation	422.3313701
Coefficient of variation (CV)	0.5751833401
Kurtosis	-1.193977765
Mean	734.2552204
Median Absolute Deviation (MAD)	366
Skewness	-0.01524407151
Sum	949392
Variance	178363.7862
Monotonicity	Strictly increasing

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1	1	0.1%
1009	1	0.1%
986	1	0.1%
984	1	0.1%
983	1	0.1%
982	1	0.1%
981	1	0.1%
980	1	0.1%
979	1	0.1%
976	1	0.1%
Other values (1283)	1283	99.2%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1	1	0.1%
2	1	0.1%
3	1	0.1%
4	1	0.1%
5	1	0.1%
6	1	0.1%
7	1	0.1%
8	1	0.1%
9	1	0.1%
10	1	0.1%

Value	Count	Frequency (%)
1460	1	0.1%
1459	1	0.1%
1458	1	0.1%
1457	1	0.1%
1456	1	0.1%
1455	1	0.1%
1453	1	0.1%
1452	1	0.1%
1449	1	0.1%
1448	1	0.1%

MSSubClass
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	15
Distinct (%)	1.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	56.29930394

Minimum	20
Maximum	190
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	10.2 KiB

Quantile statistics

Minimum	20
5-th percentile	20
Q1	20
median	50
Q3	70
95-th percentile	160
Maximum	190
Range	170
Interquartile range (IQR)	50

Descriptive statistics

Standard deviation	41.22652413
Coefficient of variation (CV)	0.7322741356
Kurtosis	1.45105337
Mean	56.29930394
Median Absolute Deviation (MAD)	30
Skewness	1.361513118
Sum	72795
Variance	1699.626292
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=15)

Value	Count	Frequency (%)
20	483	37.4%
60	275	21.3%
50	126	9.7%
120	86	6.7%
160	61	4.7%
70	57	4.4%
80	57	4.4%
30	51	3.9%
90	28	2.2%
85	19	1.5%
Other values (5)	50	3.9%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
20	483	37.4%
30	51	3.9%
40	4	0.3%
45	9	0.7%
50	126	9.7%
60	275	21.3%
70	57	4.4%
75	13	1.0%
80	57	4.4%
85	19	1.5%

Value	Count	Frequency (%)
190	18	1.4%
180	6	0.5%
160	61	4.7%
120	86	6.7%
90	28	2.2%
85	19	1.5%
80	57	4.4%
75	13	1.0%
70	57	4.4%
60	275	21.3%

MSZoning
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	5
Distinct (%)	0.4%
Missing	0
Missing (%)	0.0%
Memory size	10.2 KiB

RL	1022
RM	190
FV	62
RH	11
C (all)	8

Length

Max length	7
Median length	2
Mean length	2.030935808
Min length	2

Characters and Unicode

Total characters	2626
Distinct characters	12
Distinct categories	5 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	RL
2nd row	RL
3rd row	RL
4th row	RL
5th row	RL

Common Values

Value	Count	Frequency (%)
RL	1022	79.0%
RM	190	14.7%
FV	62	4.8%
RH	11	0.9%
C (all)	8	0.6%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
rl	1022	78.6%
rm	190	14.6%
fv	62	4.8%
rh	11	0.8%
c	8	0.6%
all	8	0.6%

Most occurring characters

Value	Count	Frequency (%)
R	1223	46.6%
L	1022	38.9%
M	190	7.2%
F	62	2.4%
V	62	2.4%
l	16	0.6%
H	11	0.4%
C	8	0.3%
	8	0.3%
(	8	0.3%
Other values (2)	16	0.6%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	2578	98.2%
Lowercase Letter	24	0.9%
Space Separator	8	0.3%
Open Punctuation	8	0.3%
Close Punctuation	8	0.3%

Most frequent character per category

Uppercase Letter

Value	Count	Frequency (%)
R	1223	47.4%
L	1022	39.6%
M	190	7.4%
F	62	2.4%
V	62	2.4%
H	11	0.4%
C	8	0.3%

Lowercase Letter

Value	Count	Frequency (%)
l	16	66.7%
a	8	33.3%

Space Separator

Value	Count	Frequency (%)
	8	100.0%

Open Punctuation

Value	Count	Frequency (%)
(	8	100.0%

Close Punctuation

Value	Count	Frequency (%)
)	8	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	2602	99.1%
Common	24	0.9%

Most frequent character per script

Latin

Value	Count	Frequency (%)
R	1223	47.0%
L	1022	39.3%
M	190	7.3%
F	62	2.4%
V	62	2.4%
l	16	0.6%
H	11	0.4%
C	8	0.3%
a	8	0.3%

Common

Value	Count	Frequency (%)
	8	33.3%
(	8	33.3%
)	8	33.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	2626	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
R	1223	46.6%
L	1022	38.9%
M	190	7.2%
F	62	2.4%
V	62	2.4%
l	16	0.6%
H	11	0.4%
C	8	0.3%
	8	0.3%
(	8	0.3%
Other values (2)	16	0.6%

LotFrontage
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	104
Distinct (%)	8.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	69.68368136

Minimum	21
Maximum	313
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	10.2 KiB

Quantile statistics

Minimum	21
5-th percentile	36
Q1	60
median	69
Q3	79
95-th percentile	101
Maximum	313
Range	292
Interquartile range (IQR)	19

Descriptive statistics

Standard deviation	20.55314085
Coefficient of variation (CV)	0.2949491251
Kurtosis	17.20192802
Mean	69.68368136
Median Absolute Deviation (MAD)	9
Skewness	1.782388918
Sum	90101
Variance	422.4315988
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
69	245	18.9%
60	120	9.3%
80	67	5.2%
70	63	4.9%
75	49	3.8%
50	48	3.7%
65	41	3.2%
85	37	2.9%
78	25	1.9%
90	21	1.6%
Other values (94)	577	44.6%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
21	17	1.3%
24	19	1.5%
30	6	0.5%
32	5	0.4%
34	10	0.8%
35	6	0.5%
36	6	0.5%
37	5	0.4%
38	1	0.1%
39	1	0.1%

Value	Count	Frequency (%)
313	1	0.1%
182	1	0.1%
174	1	0.1%
168	1	0.1%
152	1	0.1%
149	1	0.1%
144	1	0.1%
140	1	0.1%
137	1	0.1%
134	2	0.2%

LotArea
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	957
Distinct (%)	74.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	9688.200309

Minimum	1300
Maximum	29959
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	10.2 KiB

Quantile statistics

Minimum	1300
5-th percentile	3216.4
Q1	7599
median	9500
Q3	11428
95-th percentile	16208
Maximum	29959
Range	28659
Interquartile range (IQR)	3829

Descriptive statistics

Standard deviation	3853.989724
Coefficient of variation (CV)	0.3978024401
Kurtosis	3.153137588
Mean	9688.200309
Median Absolute Deviation (MAD)	1914
Skewness	0.9498074462
Sum	12526843
Variance	14853236.79
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
9600	23	1.8%
7200	20	1.5%
6000	16	1.2%
8400	13	1.0%
9000	12	0.9%
10800	11	0.9%
1680	9	0.7%
7500	8	0.6%
9100	8	0.6%
6240	7	0.5%
Other values (947)	1166	90.2%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1300	1	0.1%
1477	1	0.1%
1526	1	0.1%
1596	1	0.1%
1680	9	0.7%
1869	1	0.1%
1890	1	0.1%
1920	1	0.1%
1950	1	0.1%
1953	1	0.1%

Value	Count	Frequency (%)
29959	1	0.1%
28698	1	0.1%
27650	1	0.1%
26178	1	0.1%
26142	1	0.1%
25419	1	0.1%
25339	1	0.1%
25286	1	0.1%
25095	1	0.1%
25000	1	0.1%

LotShape
Categorical

Distinct	4
Distinct (%)	0.3%
Missing	0
Missing (%)	0.0%
Memory size	10.2 KiB

Reg	818
IR1	437
IR2	30
IR3	8

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	3879
Distinct characters	7
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Reg
2nd row	Reg
3rd row	IR1
4th row	IR1
5th row	IR1

Common Values

Value	Count	Frequency (%)
Reg	818	63.3%
IR1	437	33.8%
IR2	30	2.3%
IR3	8	0.6%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
reg	818	63.3%
ir1	437	33.8%
ir2	30	2.3%
ir3	8	0.6%

Most occurring characters

Value	Count	Frequency (%)
R	1293	33.3%
e	818	21.1%
g	818	21.1%
I	475	12.2%
1	437	11.3%
2	30	0.8%
3	8	0.2%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	1768	45.6%
Lowercase Letter	1636	42.2%
Decimal Number	475	12.2%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
1	437	92.0%
2	30	6.3%
3	8	1.7%

Uppercase Letter

Value	Count	Frequency (%)
R	1293	73.1%
I	475	26.9%

Lowercase Letter

Value	Count	Frequency (%)
e	818	50.0%
g	818	50.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	3404	87.8%
Common	475	12.2%

Most frequent character per script

Latin

Value	Count	Frequency (%)
R	1293	38.0%
e	818	24.0%
g	818	24.0%
I	475	14.0%

Common

Value	Count	Frequency (%)
1	437	92.0%
2	30	6.3%
3	8	1.7%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	3879	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
R	1293	33.3%
e	818	21.1%
g	818	21.1%
I	475	12.2%
1	437	11.3%
2	30	0.8%
3	8	0.2%

LandContour
Categorical

HIGH CORRELATION

Distinct	4
Distinct (%)	0.3%
Missing	0
Missing (%)	0.0%
Memory size	10.2 KiB

Lvl	1179
Bnk	47
HLS	45
Low	22

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	3879
Distinct characters	10
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Lvl
2nd row	Lvl
3rd row	Lvl
4th row	Lvl
5th row	Lvl

Common Values

Value	Count	Frequency (%)
Lvl	1179	91.2%
Bnk	47	3.6%
HLS	45	3.5%
Low	22	1.7%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
lvl	1179	91.2%
bnk	47	3.6%
hls	45	3.5%
low	22	1.7%

Most occurring characters

Value	Count	Frequency (%)
L	1246	32.1%
v	1179	30.4%
l	1179	30.4%
B	47	1.2%
n	47	1.2%
k	47	1.2%
H	45	1.2%
S	45	1.2%
o	22	0.6%
w	22	0.6%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	2496	64.3%
Uppercase Letter	1383	35.7%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
v	1179	47.2%
l	1179	47.2%
n	47	1.9%
k	47	1.9%
o	22	0.9%
w	22	0.9%

Uppercase Letter

Value	Count	Frequency (%)
L	1246	90.1%
B	47	3.4%
H	45	3.3%
S	45	3.3%

Most occurring scripts

Value	Count	Frequency (%)
Latin	3879	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
L	1246	32.1%
v	1179	30.4%
l	1179	30.4%
B	47	1.2%
n	47	1.2%
k	47	1.2%
H	45	1.2%
S	45	1.2%
o	22	0.6%
w	22	0.6%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	3879	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
L	1246	32.1%
v	1179	30.4%
l	1179	30.4%
B	47	1.2%
n	47	1.2%
k	47	1.2%
H	45	1.2%
S	45	1.2%
o	22	0.6%
w	22	0.6%

LotConfig
Categorical

Distinct	5
Distinct (%)	0.4%
Missing	0
Missing (%)	0.0%
Memory size	10.2 KiB

Inside	930
Corner	237
CulDSac	79
FR2	43
FR3	4

Length

Max length	7
Median length	6
Mean length	5.952049497
Min length	3

Characters and Unicode

Total characters	7696
Distinct characters	19
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Inside
2nd row	FR2
3rd row	Inside
4th row	Corner
5th row	FR2

Common Values

Value	Count	Frequency (%)
Inside	930	71.9%
Corner	237	18.3%
CulDSac	79	6.1%
FR2	43	3.3%
FR3	4	0.3%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
inside	930	71.9%
corner	237	18.3%
culdsac	79	6.1%
fr2	43	3.3%
fr3	4	0.3%

Most occurring characters

Value	Count	Frequency (%)
e	1167	15.2%
n	1167	15.2%
I	930	12.1%
s	930	12.1%
i	930	12.1%
d	930	12.1%
r	474	6.2%
C	316	4.1%
o	237	3.1%
S	79	1.0%
Other values (9)	536	7.0%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	6151	79.9%
Uppercase Letter	1498	19.5%
Decimal Number	47	0.6%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	1167	19.0%
n	1167	19.0%
s	930	15.1%
i	930	15.1%
d	930	15.1%
r	474	7.7%
o	237	3.9%
c	79	1.3%
a	79	1.3%
u	79	1.3%

Uppercase Letter

Value	Count	Frequency (%)
I	930	62.1%
C	316	21.1%
S	79	5.3%
D	79	5.3%
F	47	3.1%
R	47	3.1%

Decimal Number

Value	Count	Frequency (%)
2	43	91.5%
3	4	8.5%

Most occurring scripts

Value	Count	Frequency (%)
Latin	7649	99.4%
Common	47	0.6%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	1167	15.3%
n	1167	15.3%
I	930	12.2%
s	930	12.2%
i	930	12.2%
d	930	12.2%
r	474	6.2%
C	316	4.1%
o	237	3.1%
S	79	1.0%
Other values (7)	489	6.4%

Common

Value	Count	Frequency (%)
2	43	91.5%
3	4	8.5%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	7696	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
e	1167	15.2%
n	1167	15.2%
I	930	12.1%
s	930	12.1%
i	930	12.1%
d	930	12.1%
r	474	6.2%
C	316	4.1%
o	237	3.1%
S	79	1.0%
Other values (9)	536	7.0%

Neighborhood
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	25
Distinct (%)	1.9%
Missing	0
Missing (%)	0.0%
Memory size	10.2 KiB

NAmes	208
CollgCr	145
OldTown	99
Somerst	82
Gilbert	76
Other values (20)	683

Length

Max length	7
Median length	7
Mean length	6.477958237
Min length	5

Characters and Unicode

Total characters	8376
Distinct characters	38
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	CollgCr
2nd row	Veenker
3rd row	CollgCr
4th row	Crawfor
5th row	NoRidge

Common Values

Value	Count	Frequency (%)
NAmes	208	16.1%
CollgCr	145	11.2%
OldTown	99	7.7%
Somerst	82	6.3%
Gilbert	76	5.9%
NWAmes	73	5.6%
Sawyer	69	5.3%
Edwards	68	5.3%
NridgHt	63	4.9%
SawyerW	53	4.1%
Other values (15)	357	27.6%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
names	208	16.1%
collgcr	145	11.2%
oldtown	99	7.7%
somerst	82	6.3%
gilbert	76	5.9%
nwames	73	5.6%
sawyer	69	5.3%
edwards	68	5.3%
nridght	63	4.9%
sawyerw	53	4.1%
Other values (15)	357	27.6%

Most occurring characters

Value	Count	Frequency (%)
r	818	9.8%
e	815	9.7%
l	576	6.9%
o	442	5.3%
s	433	5.2%
m	413	4.9%
d	390	4.7%
N	386	4.6%
C	376	4.5%
w	351	4.2%
Other values (28)	3376	40.3%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	5980	71.4%
Uppercase Letter	2396	28.6%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
r	818	13.7%
e	815	13.6%
l	576	9.6%
o	442	7.4%
s	433	7.2%
m	413	6.9%
d	390	6.5%
w	351	5.9%
i	302	5.1%
t	302	5.1%
Other values (10)	1138	19.0%

Uppercase Letter

Value	Count	Frequency (%)
N	386	16.1%
C	376	15.7%
S	312	13.0%
A	281	11.7%
T	161	6.7%
W	146	6.1%
O	128	5.3%
B	102	4.3%
R	91	3.8%
G	76	3.2%
Other values (8)	337	14.1%

Most occurring scripts

Value	Count	Frequency (%)
Latin	8376	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
r	818	9.8%
e	815	9.7%
l	576	6.9%
o	442	5.3%
s	433	5.2%
m	413	4.9%
d	390	4.7%
N	386	4.6%
C	376	4.5%
w	351	4.2%
Other values (28)	3376	40.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	8376	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
r	818	9.8%
e	815	9.7%
l	576	6.9%
o	442	5.3%
s	433	5.2%
m	413	4.9%
d	390	4.7%
N	386	4.6%
C	376	4.5%
w	351	4.2%
Other values (28)	3376	40.3%

BldgType
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	5
Distinct (%)	0.4%
Missing	0
Missing (%)	0.0%
Memory size	10.2 KiB

1Fam	1096
TwnhsE	112
Twnhs	38
Duplex	28
2fmCon	19

Length

Max length	6
Median length	4
Mean length	4.275328693
Min length	4

Characters and Unicode

Total characters	5528
Distinct characters	20
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1Fam
2nd row	1Fam
3rd row	1Fam
4th row	1Fam
5th row	1Fam

Common Values

Value	Count	Frequency (%)
1Fam	1096	84.8%
TwnhsE	112	8.7%
Twnhs	38	2.9%
Duplex	28	2.2%
2fmCon	19	1.5%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
1fam	1096	84.8%
twnhse	112	8.7%
twnhs	38	2.9%
duplex	28	2.2%
2fmcon	19	1.5%

Most occurring characters

Value	Count	Frequency (%)
m	1115	20.2%
1	1096	19.8%
a	1096	19.8%
F	1096	19.8%
n	169	3.1%
T	150	2.7%
w	150	2.7%
h	150	2.7%
s	150	2.7%
E	112	2.0%
Other values (10)	244	4.4%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	3008	54.4%
Uppercase Letter	1405	25.4%
Decimal Number	1115	20.2%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
m	1115	37.1%
a	1096	36.4%
n	169	5.6%
w	150	5.0%
h	150	5.0%
s	150	5.0%
l	28	0.9%
x	28	0.9%
e	28	0.9%
p	28	0.9%
Other values (3)	66	2.2%

Uppercase Letter

Value	Count	Frequency (%)
F	1096	78.0%
T	150	10.7%
E	112	8.0%
D	28	2.0%
C	19	1.4%

Decimal Number

Value	Count	Frequency (%)
1	1096	98.3%
2	19	1.7%

Most occurring scripts

Value	Count	Frequency (%)
Latin	4413	79.8%
Common	1115	20.2%

Most frequent character per script

Latin

Value	Count	Frequency (%)
m	1115	25.3%
a	1096	24.8%
F	1096	24.8%
n	169	3.8%
T	150	3.4%
w	150	3.4%
h	150	3.4%
s	150	3.4%
E	112	2.5%
l	28	0.6%
Other values (8)	197	4.5%

Common

Value	Count	Frequency (%)
1	1096	98.3%
2	19	1.7%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	5528	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
m	1115	20.2%
1	1096	19.8%
a	1096	19.8%
F	1096	19.8%
n	169	3.1%
T	150	2.7%
w	150	2.7%
h	150	2.7%
s	150	2.7%
E	112	2.0%
Other values (10)	244	4.4%

HouseStyle
Categorical

HIGH CORRELATION

Distinct	8
Distinct (%)	0.6%
Missing	0
Missing (%)	0.0%
Memory size	10.2 KiB

1Story	636
2Story	407
1.5Fin	130
SLvl	64
SFoyer	30
Other values (3)	26

Length

Max length	6
Median length	6
Mean length	5.901005414
Min length	4

Characters and Unicode

Total characters	7630
Distinct characters	18
Distinct categories	4 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	2Story
2nd row	1Story
3rd row	2Story
4th row	2Story
5th row	2Story

Common Values

Value	Count	Frequency (%)
1Story	636	49.2%
2Story	407	31.5%
1.5Fin	130	10.1%
SLvl	64	4.9%
SFoyer	30	2.3%
1.5Unf	11	0.9%
2.5Unf	10	0.8%
2.5Fin	5	0.4%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
1story	636	49.2%
2story	407	31.5%
1.5fin	130	10.1%
slvl	64	4.9%
sfoyer	30	2.3%
1.5unf	11	0.9%
2.5unf	10	0.8%
2.5fin	5	0.4%

Most occurring characters

Value	Count	Frequency (%)
S	1137	14.9%
o	1073	14.1%
r	1073	14.1%
y	1073	14.1%
t	1043	13.7%
1	777	10.2%
2	422	5.5%
F	165	2.2%
5	156	2.0%
.	156	2.0%
Other values (8)	555	7.3%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	4732	62.0%
Uppercase Letter	1387	18.2%
Decimal Number	1355	17.8%
Other Punctuation	156	2.0%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
o	1073	22.7%
r	1073	22.7%
y	1073	22.7%
t	1043	22.0%
n	156	3.3%
i	135	2.9%
v	64	1.4%
l	64	1.4%
e	30	0.6%
f	21	0.4%

Uppercase Letter

Value	Count	Frequency (%)
S	1137	82.0%
F	165	11.9%
L	64	4.6%
U	21	1.5%

Decimal Number

Value	Count	Frequency (%)
1	777	57.3%
2	422	31.1%
5	156	11.5%

Other Punctuation

Value	Count	Frequency (%)
.	156	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	6119	80.2%
Common	1511	19.8%

Most frequent character per script

Latin

Value	Count	Frequency (%)
S	1137	18.6%
o	1073	17.5%
r	1073	17.5%
y	1073	17.5%
t	1043	17.0%
F	165	2.7%
n	156	2.5%
i	135	2.2%
L	64	1.0%
v	64	1.0%
Other values (4)	136	2.2%

Common

Value	Count	Frequency (%)
1	777	51.4%
2	422	27.9%
5	156	10.3%
.	156	10.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	7630	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
S	1137	14.9%
o	1073	14.1%
r	1073	14.1%
y	1073	14.1%
t	1043	13.7%
1	777	10.2%
2	422	5.5%
F	165	2.2%
5	156	2.0%
.	156	2.0%
Other values (8)	555	7.3%

OverallQual
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	9
Distinct (%)	0.7%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	6.158546017

Minimum	2
Maximum	10
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	10.2 KiB

Quantile statistics

Minimum	2
5-th percentile	4
Q1	5
median	6
Q3	7
95-th percentile	8
Maximum	10
Range	8
Interquartile range (IQR)	2

Descriptive statistics

Standard deviation	1.258561414
Coefficient of variation (CV)	0.2043601542
Kurtosis	-0.2385307004
Mean	6.158546017
Median Absolute Deviation (MAD)	1
Skewness	0.1844935508
Sum	7963
Variance	1.583976832
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=9)

Value	Count	Frequency (%)
6	355	27.5%
5	346	26.8%
7	308	23.8%
8	157	12.1%
4	79	6.1%
9	33	2.6%
3	8	0.6%
10	5	0.4%
2	2	0.2%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
2	2	0.2%
3	8	0.6%
4	79	6.1%
5	346	26.8%
6	355	27.5%
7	308	23.8%
8	157	12.1%
9	33	2.6%
10	5	0.4%

Value	Count	Frequency (%)
10	5	0.4%
9	33	2.6%
8	157	12.1%
7	308	23.8%
6	355	27.5%
5	346	26.8%
4	79	6.1%
3	8	0.6%
2	2	0.2%

OverallCond
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	8
Distinct (%)	0.6%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	5.606341841

Minimum	2
Maximum	9
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	10.2 KiB

Quantile statistics

Minimum	2
5-th percentile	5
Q1	5
median	5
Q3	6
95-th percentile	8
Maximum	9
Range	7
Interquartile range (IQR)	1

Descriptive statistics

Standard deviation	1.082018809
Coefficient of variation (CV)	0.1929990785
Kurtosis	0.9619512987
Mean	5.606341841
Median Absolute Deviation (MAD)	0
Skewness	0.8629833387
Sum	7249
Variance	1.170764703
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=8)

Value	Count	Frequency (%)
5	735	56.8%
6	230	17.8%
7	180	13.9%
8	67	5.2%
4	44	3.4%
9	19	1.5%
3	15	1.2%
2	3	0.2%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
2	3	0.2%
3	15	1.2%
4	44	3.4%
5	735	56.8%
6	230	17.8%
7	180	13.9%
8	67	5.2%
9	19	1.5%

Value	Count	Frequency (%)
9	19	1.5%
8	67	5.2%
7	180	13.9%
6	230	17.8%
5	735	56.8%
4	44	3.4%
3	15	1.2%
2	3	0.2%

YearBuilt
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	109
Distinct (%)	8.4%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	1972.584687

Minimum	1880
Maximum	2010
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	10.2 KiB

Quantile statistics

Minimum	1880
5-th percentile	1918.6
Q1	1955
median	1975
Q3	2001
95-th percentile	2007
Maximum	2010
Range	130
Interquartile range (IQR)	46

Descriptive statistics

Standard deviation	29.5459444
Coefficient of variation (CV)	0.01497828945
Kurtosis	-0.3709830501
Mean	1972.584687
Median Absolute Deviation (MAD)	24
Skewness	-0.6580309947
Sum	2550552
Variance	872.9628303
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
2005	61	4.7%
2006	59	4.6%
2004	53	4.1%
2007	44	3.4%
2003	40	3.1%
1976	33	2.6%
1977	29	2.2%
1998	25	1.9%
1920	25	1.9%
1999	25	1.9%
Other values (99)	899	69.5%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1880	4	0.3%
1882	1	0.1%
1885	2	0.2%
1890	2	0.2%
1892	1	0.1%
1893	1	0.1%
1898	1	0.1%
1900	8	0.6%
1904	1	0.1%
1905	1	0.1%

Value	Count	Frequency (%)
2010	1	0.1%
2009	16	1.2%
2008	16	1.2%
2007	44	3.4%
2006	59	4.6%
2005	61	4.7%
2004	53	4.1%
2003	40	3.1%
2002	20	1.5%
2001	19	1.5%

RoofStyle
Categorical

Distinct	6
Distinct (%)	0.5%
Missing	0
Missing (%)	0.0%
Memory size	10.2 KiB

Gable	1018
Hip	248
Gambrel	10
Flat	9
Mansard	6

Length

Max length	7
Median length	5
Mean length	4.632637278
Min length	3

Characters and Unicode

Total characters	5990
Distinct characters	18
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Gable
2nd row	Gable
3rd row	Gable
4th row	Gable
5th row	Gable

Common Values

Value	Count	Frequency (%)
Gable	1018	78.7%
Hip	248	19.2%
Gambrel	10	0.8%
Flat	9	0.7%
Mansard	6	0.5%
Shed	2	0.2%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
gable	1018	78.7%
hip	248	19.2%
gambrel	10	0.8%
flat	9	0.7%
mansard	6	0.5%
shed	2	0.2%

Most occurring characters

Value	Count	Frequency (%)
a	1049	17.5%
l	1037	17.3%
e	1030	17.2%
G	1028	17.2%
b	1028	17.2%
H	248	4.1%
i	248	4.1%
p	248	4.1%
r	16	0.3%
m	10	0.2%
Other values (8)	48	0.8%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	4697	78.4%
Uppercase Letter	1293	21.6%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
a	1049	22.3%
l	1037	22.1%
e	1030	21.9%
b	1028	21.9%
i	248	5.3%
p	248	5.3%
r	16	0.3%
m	10	0.2%
t	9	0.2%
d	8	0.2%
Other values (3)	14	0.3%

Uppercase Letter

Value	Count	Frequency (%)
G	1028	79.5%
H	248	19.2%
F	9	0.7%
M	6	0.5%
S	2	0.2%

Most occurring scripts

Value	Count	Frequency (%)
Latin	5990	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
a	1049	17.5%
l	1037	17.3%
e	1030	17.2%
G	1028	17.2%
b	1028	17.2%
H	248	4.1%
i	248	4.1%
p	248	4.1%
r	16	0.3%
m	10	0.2%
Other values (8)	48	0.8%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	5990	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
a	1049	17.5%
l	1037	17.3%
e	1030	17.2%
G	1028	17.2%
b	1028	17.2%
H	248	4.1%
i	248	4.1%
p	248	4.1%
r	16	0.3%
m	10	0.2%
Other values (8)	48	0.8%

Exterior1st
Categorical

HIGH CORRELATION

Distinct	14
Distinct (%)	1.1%
Missing	0
Missing (%)	0.0%
Memory size	10.2 KiB

VinylSd	470
HdBoard	208
MetalSd	199
Wd Sdng	176
Plywood	95
Other values (9)	145

Length

Max length	7
Median length	7
Mean length	6.98066512
Min length	5

Characters and Unicode

Total characters	9026
Distinct characters	31
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	3 ?
Unique (%)	0.2%

Sample

1st row	VinylSd
2nd row	MetalSd
3rd row	VinylSd
4th row	Wd Sdng
5th row	VinylSd

Common Values

Value	Count	Frequency (%)
VinylSd	470	36.3%
HdBoard	208	16.1%
MetalSd	199	15.4%
Wd Sdng	176	13.6%
Plywood	95	7.3%
CemntBd	45	3.5%
BrkFace	41	3.2%
Stucco	20	1.5%
WdShing	19	1.5%
AsbShng	15	1.2%
Other values (4)	5	0.4%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
vinylsd	470	32.0%
hdboard	208	14.2%
metalsd	199	13.5%
wd	176	12.0%
sdng	176	12.0%
plywood	95	6.5%
cemntbd	45	3.1%
brkface	41	2.8%
stucco	20	1.4%
wdshing	19	1.3%
Other values (5)	20	1.4%

Most occurring characters

Value	Count	Frequency (%)
d	1596	17.7%
S	902	10.0%
l	765	8.5%
n	727	8.1%
y	565	6.3%
i	489	5.4%
V	470	5.2%
a	448	5.0%
o	422	4.7%
B	296	3.3%
Other values (21)	2346	26.0%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	6381	70.7%
Uppercase Letter	2469	27.4%
Space Separator	176	1.9%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
d	1596	25.0%
l	765	12.0%
n	727	11.4%
y	565	8.9%
i	489	7.7%
a	448	7.0%
o	422	6.6%
e	287	4.5%
t	267	4.2%
r	250	3.9%
Other values (9)	565	8.9%

Uppercase Letter

Value	Count	Frequency (%)
S	902	36.5%
V	470	19.0%
B	296	12.0%
H	208	8.4%
M	199	8.1%
W	195	7.9%
P	95	3.8%
C	47	1.9%
F	41	1.7%
A	15	0.6%

Space Separator

Value	Count	Frequency (%)
	176	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	8850	98.1%
Common	176	1.9%

Most frequent character per script

Latin

Value	Count	Frequency (%)
d	1596	18.0%
S	902	10.2%
l	765	8.6%
n	727	8.2%
y	565	6.4%
i	489	5.5%
V	470	5.3%
a	448	5.1%
o	422	4.8%
B	296	3.3%
Other values (20)	2170	24.5%

Common

Value	Count	Frequency (%)
	176	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	9026	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
d	1596	17.7%
S	902	10.0%
l	765	8.5%
n	727	8.1%
y	565	6.3%
i	489	5.4%
V	470	5.2%
a	448	5.0%
o	422	4.7%
B	296	3.3%
Other values (21)	2346	26.0%

MasVnrType
Categorical

HIGH CORRELATION

Distinct	4
Distinct (%)	0.3%
Missing	0
Missing (%)	0.0%
Memory size	10.2 KiB

None	749
BrkFace	418
Stone	113
BrkCmn	13

Length

Max length	7
Median length	4
Mean length	5.07733952
Min length	4

Characters and Unicode

Total characters	6565
Distinct characters	14
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	BrkFace
2nd row	None
3rd row	BrkFace
4th row	None
5th row	BrkFace

Common Values

Value	Count	Frequency (%)
None	749	57.9%
BrkFace	418	32.3%
Stone	113	8.7%
BrkCmn	13	1.0%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
none	749	57.9%
brkface	418	32.3%
stone	113	8.7%
brkcmn	13	1.0%

Most occurring characters

Value	Count	Frequency (%)
e	1280	19.5%
n	875	13.3%
o	862	13.1%
N	749	11.4%
B	431	6.6%
r	431	6.6%
k	431	6.6%
F	418	6.4%
a	418	6.4%
c	418	6.4%
Other values (4)	252	3.8%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	4841	73.7%
Uppercase Letter	1724	26.3%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	1280	26.4%
n	875	18.1%
o	862	17.8%
r	431	8.9%
k	431	8.9%
a	418	8.6%
c	418	8.6%
t	113	2.3%
m	13	0.3%

Uppercase Letter

Value	Count	Frequency (%)
N	749	43.4%
B	431	25.0%
F	418	24.2%
S	113	6.6%
C	13	0.8%

Most occurring scripts

Value	Count	Frequency (%)
Latin	6565	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	1280	19.5%
n	875	13.3%
o	862	13.1%
N	749	11.4%
B	431	6.6%
r	431	6.6%
k	431	6.6%
F	418	6.4%
a	418	6.4%
c	418	6.4%
Other values (4)	252	3.8%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	6565	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
e	1280	19.5%
n	875	13.3%
o	862	13.1%
N	749	11.4%
B	431	6.6%
r	431	6.6%
k	431	6.6%
F	418	6.4%
a	418	6.4%
c	418	6.4%
Other values (4)	252	3.8%

ExterQual
Categorical

HIGH CORRELATION

Distinct	4
Distinct (%)	0.3%
Missing	0
Missing (%)	0.0%
Memory size	10.2 KiB

TA	790
Gd	462
Ex	34
Fa	7

Length

Max length	2
Median length	2
Mean length	2
Min length	2

Characters and Unicode

Total characters	2586
Distinct characters	8
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Gd
2nd row	TA
3rd row	Gd
4th row	TA
5th row	Gd

Common Values

Value	Count	Frequency (%)
TA	790	61.1%
Gd	462	35.7%
Ex	34	2.6%
Fa	7	0.5%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
ta	790	61.1%
gd	462	35.7%
ex	34	2.6%
fa	7	0.5%

Most occurring characters

Value	Count	Frequency (%)
T	790	30.5%
A	790	30.5%
G	462	17.9%
d	462	17.9%
E	34	1.3%
x	34	1.3%
F	7	0.3%
a	7	0.3%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	2083	80.5%
Lowercase Letter	503	19.5%

Most frequent character per category

Uppercase Letter

Value	Count	Frequency (%)
T	790	37.9%
A	790	37.9%
G	462	22.2%
E	34	1.6%
F	7	0.3%

Lowercase Letter

Value	Count	Frequency (%)
d	462	91.8%
x	34	6.8%
a	7	1.4%

Most occurring scripts

Value	Count	Frequency (%)
Latin	2586	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
T	790	30.5%
A	790	30.5%
G	462	17.9%
d	462	17.9%
E	34	1.3%
x	34	1.3%
F	7	0.3%
a	7	0.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	2586	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
T	790	30.5%
A	790	30.5%
G	462	17.9%
d	462	17.9%
E	34	1.3%
x	34	1.3%
F	7	0.3%
a	7	0.3%

ExterCond
Categorical

HIGH CORRELATION

Distinct	4
Distinct (%)	0.3%
Missing	0
Missing (%)	0.0%
Memory size	10.2 KiB

TA	1142
Gd	133
Fa	16
Ex	2

Length

Max length	2
Median length	2
Mean length	2
Min length	2

Characters and Unicode

Total characters	2586
Distinct characters	8
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	TA
2nd row	TA
3rd row	TA
4th row	TA
5th row	TA

Common Values

Value	Count	Frequency (%)
TA	1142	88.3%
Gd	133	10.3%
Fa	16	1.2%
Ex	2	0.2%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
ta	1142	88.3%
gd	133	10.3%
fa	16	1.2%
ex	2	0.2%

Most occurring characters

Value	Count	Frequency (%)
T	1142	44.2%
A	1142	44.2%
G	133	5.1%
d	133	5.1%
F	16	0.6%
a	16	0.6%
E	2	0.1%
x	2	0.1%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	2435	94.2%
Lowercase Letter	151	5.8%

Most frequent character per category

Uppercase Letter

Value	Count	Frequency (%)
T	1142	46.9%
A	1142	46.9%
G	133	5.5%
F	16	0.7%
E	2	0.1%

Lowercase Letter

Value	Count	Frequency (%)
d	133	88.1%
a	16	10.6%
x	2	1.3%

Most occurring scripts

Value	Count	Frequency (%)
Latin	2586	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
T	1142	44.2%
A	1142	44.2%
G	133	5.1%
d	133	5.1%
F	16	0.6%
a	16	0.6%
E	2	0.1%
x	2	0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	2586	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
T	1142	44.2%
A	1142	44.2%
G	133	5.1%
d	133	5.1%
F	16	0.6%
a	16	0.6%
E	2	0.1%
x	2	0.1%

Foundation
Categorical

HIGH CORRELATION

Distinct	5
Distinct (%)	0.4%
Missing	0
Missing (%)	0.0%
Memory size	10.2 KiB

PConc	592
CBlock	565
BrkTil	127
Stone	6
Wood	3

Length

Max length	6
Median length	6
Mean length	5.532869296
Min length	4

Characters and Unicode

Total characters	7154
Distinct characters	16
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	PConc
2nd row	CBlock
3rd row	PConc
4th row	BrkTil
5th row	PConc

Common Values

Value	Count	Frequency (%)
PConc	592	45.8%
CBlock	565	43.7%
BrkTil	127	9.8%
Stone	6	0.5%
Wood	3	0.2%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
pconc	592	45.8%
cblock	565	43.7%
brktil	127	9.8%
stone	6	0.5%
wood	3	0.2%

Most occurring characters

Value	Count	Frequency (%)
o	1169	16.3%
C	1157	16.2%
c	1157	16.2%
B	692	9.7%
l	692	9.7%
k	692	9.7%
n	598	8.4%
P	592	8.3%
r	127	1.8%
T	127	1.8%
Other values (6)	151	2.1%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	4577	64.0%
Uppercase Letter	2577	36.0%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
o	1169	25.5%
c	1157	25.3%
l	692	15.1%
k	692	15.1%
n	598	13.1%
r	127	2.8%
i	127	2.8%
t	6	0.1%
e	6	0.1%
d	3	0.1%

Uppercase Letter

Value	Count	Frequency (%)
C	1157	44.9%
B	692	26.9%
P	592	23.0%
T	127	4.9%
S	6	0.2%
W	3	0.1%

Most occurring scripts

Value	Count	Frequency (%)
Latin	7154	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
o	1169	16.3%
C	1157	16.2%
c	1157	16.2%
B	692	9.7%
l	692	9.7%
k	692	9.7%
n	598	8.4%
P	592	8.3%
r	127	1.8%
T	127	1.8%
Other values (6)	151	2.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	7154	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
o	1169	16.3%
C	1157	16.2%
c	1157	16.2%
B	692	9.7%
l	692	9.7%
k	692	9.7%
n	598	8.4%
P	592	8.3%
r	127	1.8%
T	127	1.8%
Other values (6)	151	2.1%

BsmtQual
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	4
Distinct (%)	0.3%
Missing	0
Missing (%)	0.0%
Memory size	10.2 KiB

TA	585
Gd	580
Ex	96
Fa	32

Length

Max length	2
Median length	2
Mean length	2
Min length	2

Characters and Unicode

Total characters	2586
Distinct characters	8
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Gd
2nd row	Gd
3rd row	Gd
4th row	TA
5th row	Gd

Common Values

Value	Count	Frequency (%)
TA	585	45.2%
Gd	580	44.9%
Ex	96	7.4%
Fa	32	2.5%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
ta	585	45.2%
gd	580	44.9%
ex	96	7.4%
fa	32	2.5%

Most occurring characters

Value	Count	Frequency (%)
T	585	22.6%
A	585	22.6%
G	580	22.4%
d	580	22.4%
E	96	3.7%
x	96	3.7%
F	32	1.2%
a	32	1.2%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	1878	72.6%
Lowercase Letter	708	27.4%

Most frequent character per category

Uppercase Letter

Value	Count	Frequency (%)
T	585	31.2%
A	585	31.2%
G	580	30.9%
E	96	5.1%
F	32	1.7%

Lowercase Letter

Value	Count	Frequency (%)
d	580	81.9%
x	96	13.6%
a	32	4.5%

Most occurring scripts

Value	Count	Frequency (%)
Latin	2586	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
T	585	22.6%
A	585	22.6%
G	580	22.4%
d	580	22.4%
E	96	3.7%
x	96	3.7%
F	32	1.2%
a	32	1.2%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	2586	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
T	585	22.6%
A	585	22.6%
G	580	22.4%
d	580	22.4%
E	96	3.7%
x	96	3.7%
F	32	1.2%
a	32	1.2%

BsmtCond
Categorical

HIGH CORRELATION

Distinct	4
Distinct (%)	0.3%
Missing	0
Missing (%)	0.0%
Memory size	10.2 KiB

TA	1194
Gd	60
Fa	38
Po	1

Length

Max length	2
Median length	2
Mean length	2
Min length	2

Characters and Unicode

Total characters	2586
Distinct characters	8
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1 ?
Unique (%)	0.1%

Sample

1st row	TA
2nd row	TA
3rd row	TA
4th row	Gd
5th row	TA

Common Values

Value	Count	Frequency (%)
TA	1194	92.3%
Gd	60	4.6%
Fa	38	2.9%
Po	1	0.1%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
ta	1194	92.3%
gd	60	4.6%
fa	38	2.9%
po	1	0.1%

Most occurring characters

Value	Count	Frequency (%)
T	1194	46.2%
A	1194	46.2%
G	60	2.3%
d	60	2.3%
F	38	1.5%
a	38	1.5%
P	1	< 0.1%
o	1	< 0.1%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	2487	96.2%
Lowercase Letter	99	3.8%

Most frequent character per category

Uppercase Letter

Value	Count	Frequency (%)
T	1194	48.0%
A	1194	48.0%
G	60	2.4%
F	38	1.5%
P	1	< 0.1%

Lowercase Letter

Value	Count	Frequency (%)
d	60	60.6%
a	38	38.4%
o	1	1.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	2586	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
T	1194	46.2%
A	1194	46.2%
G	60	2.3%
d	60	2.3%
F	38	1.5%
a	38	1.5%
P	1	< 0.1%
o	1	< 0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	2586	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
T	1194	46.2%
A	1194	46.2%
G	60	2.3%
d	60	2.3%
F	38	1.5%
a	38	1.5%
P	1	< 0.1%
o	1	< 0.1%

BsmtExposure
Categorical

Distinct	4
Distinct (%)	0.3%
Missing	0
Missing (%)	0.0%
Memory size	10.2 KiB

No	879
Av	203
Mn	108
Gd	103

Length

Max length	2
Median length	2
Mean length	2
Min length	2

Characters and Unicode

Total characters	2586
Distinct characters	8
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	No
2nd row	Gd
3rd row	Mn
4th row	No
5th row	Av

Common Values

Value	Count	Frequency (%)
No	879	68.0%
Av	203	15.7%
Mn	108	8.4%
Gd	103	8.0%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
no	879	68.0%
av	203	15.7%
mn	108	8.4%
gd	103	8.0%

Most occurring characters

Value	Count	Frequency (%)
N	879	34.0%
o	879	34.0%
A	203	7.8%
v	203	7.8%
M	108	4.2%
n	108	4.2%
G	103	4.0%
d	103	4.0%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	1293	50.0%
Lowercase Letter	1293	50.0%

Most frequent character per category

Uppercase Letter

Value	Count	Frequency (%)
N	879	68.0%
A	203	15.7%
M	108	8.4%
G	103	8.0%

Lowercase Letter

Value	Count	Frequency (%)
o	879	68.0%
v	203	15.7%
n	108	8.4%
d	103	8.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	2586	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
N	879	34.0%
o	879	34.0%
A	203	7.8%
v	203	7.8%
M	108	4.2%
n	108	4.2%
G	103	4.0%
d	103	4.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	2586	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
N	879	34.0%
o	879	34.0%
A	203	7.8%
v	203	7.8%
M	108	4.2%
n	108	4.2%
G	103	4.0%
d	103	4.0%

BsmtFinType1
Categorical

HIGH CORRELATION

Distinct	6
Distinct (%)	0.5%
Missing	0
Missing (%)	0.0%
Memory size	10.2 KiB

Unf	386
GLQ	376
ALQ	205
BLQ	137
Rec	121

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	3879
Distinct characters	12
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	GLQ
2nd row	ALQ
3rd row	GLQ
4th row	ALQ
5th row	GLQ

Common Values

Value	Count	Frequency (%)
Unf	386	29.9%
GLQ	376	29.1%
ALQ	205	15.9%
BLQ	137	10.6%
Rec	121	9.4%
LwQ	68	5.3%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
unf	386	29.9%
glq	376	29.1%
alq	205	15.9%
blq	137	10.6%
rec	121	9.4%
lwq	68	5.3%

Most occurring characters

Value	Count	Frequency (%)
L	786	20.3%
Q	786	20.3%
U	386	10.0%
n	386	10.0%
f	386	10.0%
G	376	9.7%
A	205	5.3%
B	137	3.5%
R	121	3.1%
e	121	3.1%
Other values (2)	189	4.9%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	2797	72.1%
Lowercase Letter	1082	27.9%

Most frequent character per category

Uppercase Letter

Value	Count	Frequency (%)
L	786	28.1%
Q	786	28.1%
U	386	13.8%
G	376	13.4%
A	205	7.3%
B	137	4.9%
R	121	4.3%

Lowercase Letter

Value	Count	Frequency (%)
n	386	35.7%
f	386	35.7%
e	121	11.2%
c	121	11.2%
w	68	6.3%

Most occurring scripts

Value	Count	Frequency (%)
Latin	3879	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
L	786	20.3%
Q	786	20.3%
U	386	10.0%
n	386	10.0%
f	386	10.0%
G	376	9.7%
A	205	5.3%
B	137	3.5%
R	121	3.1%
e	121	3.1%
Other values (2)	189	4.9%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	3879	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
L	786	20.3%
Q	786	20.3%
U	386	10.0%
n	386	10.0%
f	386	10.0%
G	376	9.7%
A	205	5.3%
B	137	3.5%
R	121	3.1%
e	121	3.1%
Other values (2)	189	4.9%

BsmtFinSF1
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
ZEROS

Distinct	594
Distinct (%)	45.9%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	440.0680588

Minimum	0
Maximum	1880
Zeros	386
Zeros (%)	29.9%
Negative	0
Negative (%)	0.0%
Memory size	10.2 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	400
Q3	706
95-th percentile	1218.8
Maximum	1880
Range	1880
Interquartile range (IQR)	706

Descriptive statistics

Standard deviation	414.3547093
Coefficient of variation (CV)	0.9415696072
Kurtosis	-0.4054378406
Mean	440.0680588
Median Absolute Deviation (MAD)	387
Skewness	0.6457144579
Sum	569008
Variance	171689.8251
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	386	29.9%
24	12	0.9%
16	9	0.7%
20	5	0.4%
936	5	0.4%
662	5	0.4%
686	5	0.4%
312	4	0.3%
641	4	0.3%
384	4	0.3%
Other values (584)	854	66.0%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	386	29.9%
2	1	0.1%
16	9	0.7%
20	5	0.4%
24	12	0.9%
25	1	0.1%
27	1	0.1%
28	3	0.2%
33	1	0.1%
35	1	0.1%

Value	Count	Frequency (%)
1880	1	0.1%
1696	1	0.1%
1646	1	0.1%
1636	1	0.1%
1619	1	0.1%
1606	1	0.1%
1573	1	0.1%
1572	1	0.1%
1567	2	0.2%
1540	1	0.1%

BsmtFinType2
Categorical

HIGH CORRELATION

Distinct	6
Distinct (%)	0.5%
Missing	0
Missing (%)	0.0%
Memory size	10.2 KiB

Unf	1137
Rec	50
LwQ	46
BLQ	31
ALQ	18

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	3879
Distinct characters	12
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Unf
2nd row	Unf
3rd row	Unf
4th row	Unf
5th row	Unf

Common Values

Value	Count	Frequency (%)
Unf	1137	87.9%
Rec	50	3.9%
LwQ	46	3.6%
BLQ	31	2.4%
ALQ	18	1.4%
GLQ	11	0.9%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
unf	1137	87.9%
rec	50	3.9%
lwq	46	3.6%
blq	31	2.4%
alq	18	1.4%
glq	11	0.9%

Most occurring characters

Value	Count	Frequency (%)
U	1137	29.3%
n	1137	29.3%
f	1137	29.3%
L	106	2.7%
Q	106	2.7%
R	50	1.3%
e	50	1.3%
c	50	1.3%
w	46	1.2%
B	31	0.8%
Other values (2)	29	0.7%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	2420	62.4%
Uppercase Letter	1459	37.6%

Most frequent character per category

Uppercase Letter

Value	Count	Frequency (%)
U	1137	77.9%
L	106	7.3%
Q	106	7.3%
R	50	3.4%
B	31	2.1%
A	18	1.2%
G	11	0.8%

Lowercase Letter

Value	Count	Frequency (%)
n	1137	47.0%
f	1137	47.0%
e	50	2.1%
c	50	2.1%
w	46	1.9%

Most occurring scripts

Value	Count	Frequency (%)
Latin	3879	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
U	1137	29.3%
n	1137	29.3%
f	1137	29.3%
L	106	2.7%
Q	106	2.7%
R	50	1.3%
e	50	1.3%
c	50	1.3%
w	46	1.2%
B	31	0.8%
Other values (2)	29	0.7%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	3879	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
U	1137	29.3%
n	1137	29.3%
f	1137	29.3%
L	106	2.7%
Q	106	2.7%
R	50	1.3%
e	50	1.3%
c	50	1.3%
w	46	1.2%
B	31	0.8%
Other values (2)	29	0.7%

BsmtUnfSF
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
ZEROS

Distinct	744
Distinct (%)	57.5%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	579.7231245

Minimum	0
Maximum	2336
Zeros	72
Zeros (%)	5.6%
Negative	0
Negative (%)	0.0%
Memory size	10.2 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	248
median	490
Q3	814
95-th percentile	1468
Maximum	2336
Range	2336
Interquartile range (IQR)	566

Descriptive statistics

Standard deviation	434.7603828
Coefficient of variation (CV)	0.7499448692
Kurtosis	0.4101460408
Mean	579.7231245
Median Absolute Deviation (MAD)	280
Skewness	0.9090468506
Sum	749582
Variance	189016.5905
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	72	5.6%
728	8	0.6%
384	6	0.5%
625	6	0.5%
600	6	0.5%
280	6	0.5%
572	6	0.5%
300	6	0.5%
390	5	0.4%
672	5	0.4%
Other values (734)	1167	90.3%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	72	5.6%
14	1	0.1%
15	1	0.1%
23	2	0.2%
26	1	0.1%
29	1	0.1%
32	1	0.1%
35	1	0.1%
36	4	0.3%
38	1	0.1%

Value	Count	Frequency (%)
2336	1	0.1%
2153	1	0.1%
2046	1	0.1%
2042	1	0.1%
2002	1	0.1%
1935	1	0.1%
1907	1	0.1%
1905	1	0.1%
1869	1	0.1%
1836	1	0.1%

TotalBsmtSF
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	672
Distinct (%)	52.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	1068.337974

Minimum	105
Maximum	2524
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	10.2 KiB

Quantile statistics

Minimum	105
5-th percentile	600
Q1	816
median	1004
Q3	1284
95-th percentile	1710
Maximum	2524
Range	2419
Interquartile range (IQR)	468

Descriptive statistics

Standard deviation	351.1871588
Coefficient of variation (CV)	0.3287229018
Kurtosis	0.2610175375
Mean	1068.337974
Median Absolute Deviation (MAD)	221
Skewness	0.6587583123
Sum	1381361
Variance	123332.4205
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
864	31	2.4%
672	15	1.2%
912	14	1.1%
1040	13	1.0%
816	12	0.9%
768	12	0.9%
848	11	0.9%
894	11	0.9%
728	11	0.9%
832	10	0.8%
Other values (662)	1153	89.2%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
105	1	0.1%
190	1	0.1%
264	2	0.2%
290	1	0.1%
360	1	0.1%
372	1	0.1%
384	6	0.5%
408	1	0.1%
440	2	0.2%
458	1	0.1%

Value	Count	Frequency (%)
2524	1	0.1%
2392	1	0.1%
2223	1	0.1%
2217	1	0.1%
2158	1	0.1%
2153	1	0.1%
2136	1	0.1%
2110	1	0.1%
2109	1	0.1%
2078	1	0.1%

HeatingQC
Categorical

HIGH CORRELATION

Distinct	5
Distinct (%)	0.4%
Missing	0
Missing (%)	0.0%
Memory size	10.2 KiB

Ex	670
TA	374
Gd	214
Fa	34
Po	1

Length

Max length	2
Median length	2
Mean length	2
Min length	2

Characters and Unicode

Total characters	2586
Distinct characters	10
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1 ?
Unique (%)	0.1%

Sample

1st row	Ex
2nd row	Ex
3rd row	Ex
4th row	Gd
5th row	Ex

Common Values

Value	Count	Frequency (%)
Ex	670	51.8%
TA	374	28.9%
Gd	214	16.6%
Fa	34	2.6%
Po	1	0.1%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
ex	670	51.8%
ta	374	28.9%
gd	214	16.6%
fa	34	2.6%
po	1	0.1%

Most occurring characters

Value	Count	Frequency (%)
E	670	25.9%
x	670	25.9%
T	374	14.5%
A	374	14.5%
G	214	8.3%
d	214	8.3%
F	34	1.3%
a	34	1.3%
P	1	< 0.1%
o	1	< 0.1%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	1667	64.5%
Lowercase Letter	919	35.5%

Most frequent character per category

Uppercase Letter

Value	Count	Frequency (%)
E	670	40.2%
T	374	22.4%
A	374	22.4%
G	214	12.8%
F	34	2.0%
P	1	0.1%

Lowercase Letter

Value	Count	Frequency (%)
x	670	72.9%
d	214	23.3%
a	34	3.7%
o	1	0.1%

Most occurring scripts

Value	Count	Frequency (%)
Latin	2586	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
E	670	25.9%
x	670	25.9%
T	374	14.5%
A	374	14.5%
G	214	8.3%
d	214	8.3%
F	34	1.3%
a	34	1.3%
P	1	< 0.1%
o	1	< 0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	2586	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
E	670	25.9%
x	670	25.9%
T	374	14.5%
A	374	14.5%
G	214	8.3%
d	214	8.3%
F	34	1.3%
a	34	1.3%
P	1	< 0.1%
o	1	< 0.1%

1stFlrSF
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	695
Distinct (%)	53.8%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	1150.75174

Minimum	438
Maximum	2898
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	10.2 KiB

Quantile statistics

Minimum	438
5-th percentile	684
Q1	889
median	1088
Q3	1370
95-th percentile	1776
Maximum	2898
Range	2460
Interquartile range (IQR)	481

Descriptive statistics

Standard deviation	349.6027083
Coefficient of variation (CV)	0.3038037624
Kurtosis	0.4789031222
Mean	1150.75174
Median Absolute Deviation (MAD)	227
Skewness	0.7366620454
Sum	1487922
Variance	122222.0536
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
864	21	1.6%
912	13	1.0%
894	12	0.9%
848	12	0.9%
1040	9	0.7%
672	9	0.7%
816	8	0.6%
960	7	0.5%
483	7	0.5%
832	7	0.5%
Other values (685)	1188	91.9%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
438	1	0.1%
480	1	0.1%
483	7	0.5%
520	4	0.3%
525	1	0.1%
526	1	0.1%
536	1	0.1%
546	3	0.2%
551	1	0.1%
561	1	0.1%

Value	Count	Frequency (%)
2898	1	0.1%
2524	1	0.1%
2392	1	0.1%
2259	1	0.1%
2223	1	0.1%
2217	1	0.1%
2207	1	0.1%
2196	1	0.1%
2158	1	0.1%
2156	1	0.1%

GrLivArea
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	787
Distinct (%)	60.9%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	1502.778809

Minimum	438
Maximum	3493
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	10.2 KiB

Quantile statistics

Minimum	438
5-th percentile	864
Q1	1148
median	1468
Q3	1762
95-th percentile	2377.6
Maximum	3493
Range	3055
Interquartile range (IQR)	614

Descriptive statistics

Standard deviation	462.8135543
Coefficient of variation (CV)	0.3079718396
Kurtosis	0.6327836963
Mean	1502.778809
Median Absolute Deviation (MAD)	307
Skewness	0.7203497005
Sum	1943093
Variance	214196.386
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
864	18	1.4%
894	11	0.9%
1456	10	0.8%
848	10	0.8%
912	8	0.6%
987	7	0.5%
1040	7	0.5%
816	7	0.5%
1200	7	0.5%
1092	7	0.5%
Other values (777)	1201	92.9%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
438	1	0.1%
480	1	0.1%
520	1	0.1%
616	1	0.1%
630	2	0.2%
672	2	0.2%
691	1	0.1%
694	1	0.1%
720	1	0.1%
747	2	0.2%

Value	Count	Frequency (%)
3493	1	0.1%
3447	1	0.1%
3222	1	0.1%
3194	1	0.1%
3112	1	0.1%
3082	1	0.1%
2978	1	0.1%
2898	1	0.1%
2872	2	0.2%
2810	1	0.1%

BsmtFullBath
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	3
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Memory size	10.2 KiB

0	754
1	530
2	9

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	1293
Distinct characters	3
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1
2nd row	0
3rd row	1
4th row	1
5th row	1

Common Values

Value	Count	Frequency (%)
0	754	58.3%
1	530	41.0%
2	9	0.7%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
0	754	58.3%
1	530	41.0%
2	9	0.7%

Most occurring characters

Value	Count	Frequency (%)
0	754	58.3%
1	530	41.0%
2	9	0.7%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	1293	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	754	58.3%
1	530	41.0%
2	9	0.7%

Most occurring scripts

Value	Count	Frequency (%)
Common	1293	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	754	58.3%
1	530	41.0%
2	9	0.7%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1293	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	754	58.3%
1	530	41.0%
2	9	0.7%

FullBath
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	4
Distinct (%)	0.3%
Missing	0
Missing (%)	0.0%
Memory size	10.2 KiB

2	696
1	573
3	17
0	7

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	1293
Distinct characters	4
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	2
2nd row	2
3rd row	2
4th row	1
5th row	2

Common Values

Value	Count	Frequency (%)
2	696	53.8%
1	573	44.3%
3	17	1.3%
0	7	0.5%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
2	696	53.8%
1	573	44.3%
3	17	1.3%
0	7	0.5%

Most occurring characters

Value	Count	Frequency (%)
2	696	53.8%
1	573	44.3%
3	17	1.3%
0	7	0.5%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	1293	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
2	696	53.8%
1	573	44.3%
3	17	1.3%
0	7	0.5%

Most occurring scripts

Value	Count	Frequency (%)
Common	1293	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
2	696	53.8%
1	573	44.3%
3	17	1.3%
0	7	0.5%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1293	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
2	696	53.8%
1	573	44.3%
3	17	1.3%
0	7	0.5%

HalfBath
Categorical

HIGH CORRELATION

Distinct	3
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Memory size	10.2 KiB

0	790
1	494
2	9

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	1293
Distinct characters	3
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1
2nd row	0
3rd row	1
4th row	0
5th row	1

Common Values

Value	Count	Frequency (%)
0	790	61.1%
1	494	38.2%
2	9	0.7%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
0	790	61.1%
1	494	38.2%
2	9	0.7%

Most occurring characters

Value	Count	Frequency (%)
0	790	61.1%
1	494	38.2%
2	9	0.7%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	1293	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	790	61.1%
1	494	38.2%
2	9	0.7%

Most occurring scripts

Value	Count	Frequency (%)
Common	1293	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	790	61.1%
1	494	38.2%
2	9	0.7%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1293	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	790	61.1%
1	494	38.2%
2	9	0.7%

BedroomAbvGr
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	7
Distinct (%)	0.5%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	2.857695282

Minimum	0
Maximum	6
Zeros	5
Zeros (%)	0.4%
Negative	0
Negative (%)	0.0%
Memory size	10.2 KiB

Quantile statistics

Minimum	0
5-th percentile	2
Q1	2
median	3
Q3	3
95-th percentile	4
Maximum	6
Range	6
Interquartile range (IQR)	1

Descriptive statistics

Standard deviation	0.7668721058
Coefficient of variation (CV)	0.2683533512
Kurtosis	1.504044815
Mean	2.857695282
Median Absolute Deviation (MAD)	0
Skewness	-0.02045051593
Sum	3695
Variance	0.5880928266
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=7)

Value	Count	Frequency (%)
3	747	57.8%
2	309	23.9%
4	172	13.3%
1	39	3.0%
5	17	1.3%
0	5	0.4%
6	4	0.3%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	5	0.4%
1	39	3.0%
2	309	23.9%
3	747	57.8%
4	172	13.3%
5	17	1.3%
6	4	0.3%

Value	Count	Frequency (%)
6	4	0.3%
5	17	1.3%
4	172	13.3%
3	747	57.8%
2	309	23.9%
1	39	3.0%
0	5	0.4%

KitchenQual
Categorical

HIGH CORRELATION

Distinct	4
Distinct (%)	0.3%
Missing	0
Missing (%)	0.0%
Memory size	10.2 KiB

TA	640
Gd	555
Ex	75
Fa	23

Length

Max length	2
Median length	2
Mean length	2
Min length	2

Characters and Unicode

Total characters	2586
Distinct characters	8
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Gd
2nd row	TA
3rd row	Gd
4th row	Gd
5th row	Gd

Common Values

Value	Count	Frequency (%)
TA	640	49.5%
Gd	555	42.9%
Ex	75	5.8%
Fa	23	1.8%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
ta	640	49.5%
gd	555	42.9%
ex	75	5.8%
fa	23	1.8%

Most occurring characters

Value	Count	Frequency (%)
T	640	24.7%
A	640	24.7%
G	555	21.5%
d	555	21.5%
E	75	2.9%
x	75	2.9%
F	23	0.9%
a	23	0.9%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	1933	74.7%
Lowercase Letter	653	25.3%

Most frequent character per category

Uppercase Letter

Value	Count	Frequency (%)
T	640	33.1%
A	640	33.1%
G	555	28.7%
E	75	3.9%
F	23	1.2%

Lowercase Letter

Value	Count	Frequency (%)
d	555	85.0%
x	75	11.5%
a	23	3.5%

Most occurring scripts

Value	Count	Frequency (%)
Latin	2586	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
T	640	24.7%
A	640	24.7%
G	555	21.5%
d	555	21.5%
E	75	2.9%
x	75	2.9%
F	23	0.9%
a	23	0.9%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	2586	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
T	640	24.7%
A	640	24.7%
G	555	21.5%
d	555	21.5%
E	75	2.9%
x	75	2.9%
F	23	0.9%
a	23	0.9%

TotRmsAbvGrd
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	10
Distinct (%)	0.8%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	6.474091261

Minimum	3
Maximum	12
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	10.2 KiB

Quantile statistics

Minimum	3
5-th percentile	4
Q1	5
median	6
Q3	7
95-th percentile	9
Maximum	12
Range	9
Interquartile range (IQR)	2

Descriptive statistics

Standard deviation	1.506534286
Coefficient of variation (CV)	0.2327020466
Kurtosis	0.6625746595
Mean	6.474091261
Median Absolute Deviation (MAD)	1
Skewness	0.5850438655
Sum	8371
Variance	2.269645555
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=10)

Value	Count	Frequency (%)
6	378	29.2%
7	302	23.4%
5	242	18.7%
8	166	12.8%
4	79	6.1%
9	63	4.9%
10	34	2.6%
11	12	0.9%
3	12	0.9%
12	5	0.4%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
3	12	0.9%
4	79	6.1%
5	242	18.7%
6	378	29.2%
7	302	23.4%
8	166	12.8%
9	63	4.9%
10	34	2.6%
11	12	0.9%
12	5	0.4%

Value	Count	Frequency (%)
12	5	0.4%
11	12	0.9%
10	34	2.6%
9	63	4.9%
8	166	12.8%
7	302	23.4%
6	378	29.2%
5	242	18.7%
4	79	6.1%
3	12	0.9%

Fireplaces
Categorical

HIGH CORRELATION

Distinct	4
Distinct (%)	0.3%
Missing	0
Missing (%)	0.0%
Memory size	10.2 KiB

1	609
0	589
2	91
3	4

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	1293
Distinct characters	4
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	1
3rd row	1
4th row	1
5th row	1

Common Values

Value	Count	Frequency (%)
1	609	47.1%
0	589	45.6%
2	91	7.0%
3	4	0.3%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
1	609	47.1%
0	589	45.6%
2	91	7.0%
3	4	0.3%

Most occurring characters

Value	Count	Frequency (%)
1	609	47.1%
0	589	45.6%
2	91	7.0%
3	4	0.3%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	1293	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
1	609	47.1%
0	589	45.6%
2	91	7.0%
3	4	0.3%

Most occurring scripts

Value	Count	Frequency (%)
Common	1293	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
1	609	47.1%
0	589	45.6%
2	91	7.0%
3	4	0.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1293	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
1	609	47.1%
0	589	45.6%
2	91	7.0%
3	4	0.3%

GarageType
Categorical

HIGH CORRELATION

Distinct	6
Distinct (%)	0.5%
Missing	0
Missing (%)	0.0%
Memory size	10.2 KiB

Attchd	822
Detchd	366
BuiltIn	75
Basment	19
CarPort	7

Length

Max length	7
Median length	6
Mean length	6.078112916
Min length	6

Characters and Unicode

Total characters	7859
Distinct characters	24
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Attchd
2nd row	Attchd
3rd row	Attchd
4th row	Detchd
5th row	Attchd

Common Values

Value	Count	Frequency (%)
Attchd	822	63.6%
Detchd	366	28.3%
BuiltIn	75	5.8%
Basment	19	1.5%
CarPort	7	0.5%
2Types	4	0.3%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
attchd	822	63.6%
detchd	366	28.3%
builtin	75	5.8%
basment	19	1.5%
carport	7	0.5%
2types	4	0.3%

Most occurring characters

Value	Count	Frequency (%)
t	2111	26.9%
c	1188	15.1%
h	1188	15.1%
d	1188	15.1%
A	822	10.5%
e	389	4.9%
D	366	4.7%
n	94	1.2%
B	94	1.2%
u	75	1.0%
Other values (14)	344	4.4%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	6480	82.5%
Uppercase Letter	1375	17.5%
Decimal Number	4	0.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
t	2111	32.6%
c	1188	18.3%
h	1188	18.3%
d	1188	18.3%
e	389	6.0%
n	94	1.5%
u	75	1.2%
i	75	1.2%
l	75	1.2%
a	26	0.4%
Other values (6)	71	1.1%

Uppercase Letter

Value	Count	Frequency (%)
A	822	59.8%
D	366	26.6%
B	94	6.8%
I	75	5.5%
C	7	0.5%
P	7	0.5%
T	4	0.3%

Decimal Number

Value	Count	Frequency (%)
2	4	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	7855	99.9%
Common	4	0.1%

Most frequent character per script

Latin

Value	Count	Frequency (%)
t	2111	26.9%
c	1188	15.1%
h	1188	15.1%
d	1188	15.1%
A	822	10.5%
e	389	5.0%
D	366	4.7%
n	94	1.2%
B	94	1.2%
u	75	1.0%
Other values (13)	340	4.3%

Common

Value	Count	Frequency (%)
2	4	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	7859	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
t	2111	26.9%
c	1188	15.1%
h	1188	15.1%
d	1188	15.1%
A	822	10.5%
e	389	4.9%
D	366	4.7%
n	94	1.2%
B	94	1.2%
u	75	1.0%
Other values (14)	344	4.4%

GarageFinish
Categorical

HIGH CORRELATION

Distinct	3
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Memory size	10.2 KiB

Unf	573
RFn	404
Fin	316

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	3879
Distinct characters	6
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	RFn
2nd row	RFn
3rd row	RFn
4th row	Unf
5th row	RFn

Common Values

Value	Count	Frequency (%)
Unf	573	44.3%
RFn	404	31.2%
Fin	316	24.4%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
unf	573	44.3%
rfn	404	31.2%
fin	316	24.4%

Most occurring characters

Value	Count	Frequency (%)
n	1293	33.3%
F	720	18.6%
U	573	14.8%
f	573	14.8%
R	404	10.4%
i	316	8.1%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	2182	56.3%
Uppercase Letter	1697	43.7%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
n	1293	59.3%
f	573	26.3%
i	316	14.5%

Uppercase Letter

Value	Count	Frequency (%)
F	720	42.4%
U	573	33.8%
R	404	23.8%

Most occurring scripts

Value	Count	Frequency (%)
Latin	3879	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
n	1293	33.3%
F	720	18.6%
U	573	14.8%
f	573	14.8%
R	404	10.4%
i	316	8.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	3879	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
n	1293	33.3%
F	720	18.6%
U	573	14.8%
f	573	14.8%
R	404	10.4%
i	316	8.1%

GarageCars
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	4
Distinct (%)	0.3%
Missing	0
Missing (%)	0.0%
Memory size	10.2 KiB

2	778
1	361
3	150
4	4

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	1293
Distinct characters	4
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	2
2nd row	2
3rd row	2
4th row	3
5th row	3

Common Values

Value	Count	Frequency (%)
2	778	60.2%
1	361	27.9%
3	150	11.6%
4	4	0.3%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
2	778	60.2%
1	361	27.9%
3	150	11.6%
4	4	0.3%

Most occurring characters

Value	Count	Frequency (%)
2	778	60.2%
1	361	27.9%
3	150	11.6%
4	4	0.3%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	1293	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
2	778	60.2%
1	361	27.9%
3	150	11.6%
4	4	0.3%

Most occurring scripts

Value	Count	Frequency (%)
Common	1293	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
2	778	60.2%
1	361	27.9%
3	150	11.6%
4	4	0.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1293	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
2	778	60.2%
1	361	27.9%
3	150	11.6%
4	4	0.3%

GarageArea
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	410
Distinct (%)	31.7%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	492.2869296

Minimum	160
Maximum	1390
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	10.2 KiB

Quantile statistics

Minimum	160
5-th percentile	240
Q1	364
median	482
Q3	576
95-th percentile	840
Maximum	1390
Range	1230
Interquartile range (IQR)	212

Descriptive statistics

Standard deviation	178.0449567
Coefficient of variation (CV)	0.3616690715
Kurtosis	0.7535682261
Mean	492.2869296
Median Absolute Deviation (MAD)	100
Skewness	0.6921103339
Sum	636527
Variance	31700.00662
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
440	48	3.7%
576	46	3.6%
240	37	2.9%
484	33	2.6%
528	30	2.3%
288	27	2.1%
264	24	1.9%
480	23	1.8%
400	20	1.5%
308	18	1.4%
Other values (400)	987	76.3%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
160	2	0.2%
164	1	0.1%
180	9	0.7%
186	1	0.1%
189	1	0.1%
192	1	0.1%
198	1	0.1%
200	4	0.3%
205	3	0.2%
208	1	0.1%

Value	Count	Frequency (%)
1390	1	0.1%
1248	1	0.1%
1220	1	0.1%
1069	1	0.1%
1053	1	0.1%
1052	1	0.1%
1043	1	0.1%
1025	1	0.1%
1014	1	0.1%
983	1	0.1%

GarageQual
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	5
Distinct (%)	0.4%
Missing	0
Missing (%)	0.0%
Memory size	10.2 KiB

TA	1227
Fa	47
Gd	14
Po	3
Ex	2

Length

Max length	2
Median length	2
Mean length	2
Min length	2

Characters and Unicode

Total characters	2586
Distinct characters	10
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	TA
2nd row	TA
3rd row	TA
4th row	TA
5th row	TA

Common Values

Value	Count	Frequency (%)
TA	1227	94.9%
Fa	47	3.6%
Gd	14	1.1%
Po	3	0.2%
Ex	2	0.2%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
ta	1227	94.9%
fa	47	3.6%
gd	14	1.1%
po	3	0.2%
ex	2	0.2%

Most occurring characters

Value	Count	Frequency (%)
T	1227	47.4%
A	1227	47.4%
F	47	1.8%
a	47	1.8%
G	14	0.5%
d	14	0.5%
P	3	0.1%
o	3	0.1%
E	2	0.1%
x	2	0.1%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	2520	97.4%
Lowercase Letter	66	2.6%

Most frequent character per category

Uppercase Letter

Value	Count	Frequency (%)
T	1227	48.7%
A	1227	48.7%
F	47	1.9%
G	14	0.6%
P	3	0.1%
E	2	0.1%

Lowercase Letter

Value	Count	Frequency (%)
a	47	71.2%
d	14	21.2%
o	3	4.5%
x	2	3.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	2586	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
T	1227	47.4%
A	1227	47.4%
F	47	1.8%
a	47	1.8%
G	14	0.5%
d	14	0.5%
P	3	0.1%
o	3	0.1%
E	2	0.1%
x	2	0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	2586	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
T	1227	47.4%
A	1227	47.4%
F	47	1.8%
a	47	1.8%
G	14	0.5%
d	14	0.5%
P	3	0.1%
o	3	0.1%
E	2	0.1%
x	2	0.1%

GarageCond
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	5
Distinct (%)	0.4%
Missing	0
Missing (%)	0.0%
Memory size	10.2 KiB

TA	1242
Fa	33
Gd	9
Po	7
Ex	2

Length

Max length	2
Median length	2
Mean length	2
Min length	2

Characters and Unicode

Total characters	2586
Distinct characters	10
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	TA
2nd row	TA
3rd row	TA
4th row	TA
5th row	TA

Common Values

Value	Count	Frequency (%)
TA	1242	96.1%
Fa	33	2.6%
Gd	9	0.7%
Po	7	0.5%
Ex	2	0.2%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
ta	1242	96.1%
fa	33	2.6%
gd	9	0.7%
po	7	0.5%
ex	2	0.2%

Most occurring characters

Value	Count	Frequency (%)
T	1242	48.0%
A	1242	48.0%
F	33	1.3%
a	33	1.3%
G	9	0.3%
d	9	0.3%
P	7	0.3%
o	7	0.3%
E	2	0.1%
x	2	0.1%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	2535	98.0%
Lowercase Letter	51	2.0%

Most frequent character per category

Uppercase Letter

Value	Count	Frequency (%)
T	1242	49.0%
A	1242	49.0%
F	33	1.3%
G	9	0.4%
P	7	0.3%
E	2	0.1%

Lowercase Letter

Value	Count	Frequency (%)
a	33	64.7%
d	9	17.6%
o	7	13.7%
x	2	3.9%

Most occurring scripts

Value	Count	Frequency (%)
Latin	2586	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
T	1242	48.0%
A	1242	48.0%
F	33	1.3%
a	33	1.3%
G	9	0.3%
d	9	0.3%
P	7	0.3%
o	7	0.3%
E	2	0.1%
x	2	0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	2586	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
T	1242	48.0%
A	1242	48.0%
F	33	1.3%
a	33	1.3%
G	9	0.3%
d	9	0.3%
P	7	0.3%
o	7	0.3%
E	2	0.1%
x	2	0.1%

PavedDrive
Categorical

HIGH CORRELATION

Distinct	3
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Memory size	10.2 KiB

Y	1215
N	52
P	26

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	1293
Distinct characters	3
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Y
2nd row	Y
3rd row	Y
4th row	Y
5th row	Y

Common Values

Value	Count	Frequency (%)
Y	1215	94.0%
N	52	4.0%
P	26	2.0%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
y	1215	94.0%
n	52	4.0%
p	26	2.0%

Most occurring characters

Value	Count	Frequency (%)
Y	1215	94.0%
N	52	4.0%
P	26	2.0%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	1293	100.0%

Most frequent character per category

Uppercase Letter

Value	Count	Frequency (%)
Y	1215	94.0%
N	52	4.0%
P	26	2.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	1293	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
Y	1215	94.0%
N	52	4.0%
P	26	2.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1293	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
Y	1215	94.0%
N	52	4.0%
P	26	2.0%

SalePrice
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	589
Distinct (%)	45.6%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	179730.2266

Minimum	35311
Maximum	395192
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	10.2 KiB

Quantile statistics

Minimum	35311
5-th percentile	100000
Q1	134500
median	165500
Q3	214000
95-th percentile	315000
Maximum	395192
Range	359881
Interquartile range (IQR)	79500

Descriptive statistics

Standard deviation	64521.36388
Coefficient of variation (CV)	0.3589900547
Kurtosis	0.7700885554
Mean	179730.2266
Median Absolute Deviation (MAD)	36000
Skewness	0.9789485
Sum	232391183
Variance	4163006398
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
140000	20	1.5%
135000	16	1.2%
155000	14	1.1%
110000	13	1.0%
145000	13	1.0%
190000	12	0.9%
185000	10	0.8%
143000	10	0.8%
125000	10	0.8%
139000	10	0.8%
Other values (579)	1165	90.1%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
35311	1	0.1%
40000	1	0.1%
55993	1	0.1%
58500	1	0.1%
60000	2	0.2%
62383	1	0.1%
64500	1	0.1%
66500	1	0.1%
67000	1	0.1%
68400	1	0.1%

Value	Count	Frequency (%)
395192	1	0.1%
395000	1	0.1%
394617	1	0.1%
394432	1	0.1%
392500	1	0.1%
392000	1	0.1%
386250	1	0.1%
385000	1	0.1%
383970	1	0.1%
381000	1	0.1%

size
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	3
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Memory size	10.2 KiB

medium	617
large	549
small	127

Length

Max length	6
Median length	5
Mean length	5.477184841
Min length	5

Characters and Unicode

Total characters	7082
Distinct characters	10
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	medium
2nd row	medium
3rd row	large
4th row	medium
5th row	large

Common Values

Value	Count	Frequency (%)
medium	617	47.7%
large	549	42.5%
small	127	9.8%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
medium	617	47.7%
large	549	42.5%
small	127	9.8%

Most occurring characters

Value	Count	Frequency (%)
m	1361	19.2%
e	1166	16.5%
l	803	11.3%
a	676	9.5%
d	617	8.7%
i	617	8.7%
u	617	8.7%
r	549	7.8%
g	549	7.8%
s	127	1.8%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	7082	100.0%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
m	1361	19.2%
e	1166	16.5%
l	803	11.3%
a	676	9.5%
d	617	8.7%
i	617	8.7%
u	617	8.7%
r	549	7.8%
g	549	7.8%
s	127	1.8%

Most occurring scripts

Value	Count	Frequency (%)
Latin	7082	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
m	1361	19.2%
e	1166	16.5%
l	803	11.3%
a	676	9.5%
d	617	8.7%
i	617	8.7%
u	617	8.7%
r	549	7.8%
g	549	7.8%
s	127	1.8%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	7082	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
m	1361	19.2%
e	1166	16.5%
l	803	11.3%
a	676	9.5%
d	617	8.7%
i	617	8.7%
u	617	8.7%
r	549	7.8%
g	549	7.8%
s	127	1.8%

Spearman's ρ

The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.

To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.

Pearson's r

The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.

To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.

Kendall's τ

Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.

To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.

Cramér's V (φc)

Cramér's V is an association measure for nominal random variables. The coefficient ranges from 0 to 1, with 0 indicating independence and 1 indicating perfect association. The empirical estimators used for Cramér's V have been proved to be biased, even for large samples. We use a bias-corrected measure that has been proposed by Bergsma in 2013 that can be found here.

Phik (φk)

Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here.

Count
Matrix

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

First rows

	df_index	Id	MSSubClass	MSZoning	LotFrontage	LotArea	LotShape	LandContour	LotConfig	Neighborhood	BldgType	HouseStyle	OverallQual	OverallCond	YearBuilt	RoofStyle	Exterior1st	MasVnrType	ExterQual	ExterCond	Foundation	BsmtQual	BsmtCond	BsmtExposure	BsmtFinType1	BsmtFinSF1	BsmtFinType2	BsmtUnfSF	TotalBsmtSF	HeatingQC	1stFlrSF	GrLivArea	BsmtFullBath	FullBath	HalfBath	BedroomAbvGr	KitchenQual	TotRmsAbvGrd	Fireplaces	GarageType	GarageFinish	GarageCars	GarageArea	GarageQual	GarageCond	PavedDrive	SalePrice	size
0	0	1	60	RL	65.0	8450	Reg	Lvl	Inside	CollgCr	1Fam	2Story	7	5	2003	Gable	VinylSd	BrkFace	Gd	TA	PConc	Gd	TA	No	GLQ	706	Unf	150	856	Ex	856	1710	1	2	1	3	Gd	8	0	Attchd	RFn	2	548	TA	TA	Y	208500	medium
1	1	2	20	RL	80.0	9600	Reg	Lvl	FR2	Veenker	1Fam	1Story	6	8	1976	Gable	MetalSd	None	TA	TA	CBlock	Gd	TA	Gd	ALQ	978	Unf	284	1262	Ex	1262	1262	0	2	0	3	TA	6	1	Attchd	RFn	2	460	TA	TA	Y	181500	medium
2	2	3	60	RL	68.0	11250	IR1	Lvl	Inside	CollgCr	1Fam	2Story	7	5	2001	Gable	VinylSd	BrkFace	Gd	TA	PConc	Gd	TA	Mn	GLQ	486	Unf	434	920	Ex	920	1786	1	2	1	3	Gd	6	1	Attchd	RFn	2	608	TA	TA	Y	223500	large
3	3	4	70	RL	60.0	9550	IR1	Lvl	Corner	Crawfor	1Fam	2Story	7	5	1915	Gable	Wd Sdng	None	TA	TA	BrkTil	TA	Gd	No	ALQ	216	Unf	540	756	Gd	961	1717	1	1	0	3	Gd	7	1	Detchd	Unf	3	642	TA	TA	Y	140000	medium
4	4	5	60	RL	84.0	14260	IR1	Lvl	FR2	NoRidge	1Fam	2Story	8	5	2000	Gable	VinylSd	BrkFace	Gd	TA	PConc	Gd	TA	Av	GLQ	655	Unf	490	1145	Ex	1145	2198	1	2	1	4	Gd	9	1	Attchd	RFn	3	836	TA	TA	Y	250000	large
5	5	6	50	RL	85.0	14115	IR1	Lvl	Inside	Mitchel	1Fam	1.5Fin	5	5	1993	Gable	VinylSd	None	TA	TA	Wood	Gd	TA	No	GLQ	732	Unf	64	796	Ex	796	1362	1	1	1	1	TA	5	0	Attchd	Unf	2	480	TA	TA	Y	143000	large
6	6	7	20	RL	75.0	10084	Reg	Lvl	Inside	Somerst	1Fam	1Story	8	5	2004	Gable	VinylSd	Stone	Gd	TA	PConc	Ex	TA	Av	GLQ	1369	Unf	317	1686	Ex	1694	1694	1	2	0	3	Gd	7	1	Attchd	RFn	2	636	TA	TA	Y	307000	large
7	7	8	60	RL	69.0	10382	IR1	Lvl	Corner	NWAmes	1Fam	2Story	7	6	1973	Gable	HdBoard	Stone	TA	TA	CBlock	Gd	TA	Mn	ALQ	859	BLQ	216	1107	Ex	1107	2090	1	2	1	3	TA	7	2	Attchd	RFn	2	484	TA	TA	Y	200000	large
8	8	9	50	RM	51.0	6120	Reg	Lvl	Inside	OldTown	1Fam	1.5Fin	7	5	1931	Gable	BrkFace	None	TA	TA	BrkTil	TA	TA	No	Unf	0	Unf	952	952	Gd	1022	1774	0	2	0	2	TA	8	2	Detchd	Unf	2	468	Fa	TA	Y	129900	medium
9	9	10	190	RL	50.0	7420	Reg	Lvl	Corner	BrkSide	2fmCon	1.5Unf	5	6	1939	Gable	MetalSd	None	TA	TA	BrkTil	TA	TA	No	GLQ	851	Unf	140	991	Ex	1077	1077	1	1	0	2	TA	5	2	Attchd	RFn	1	205	Gd	TA	Y	118000	medium

Last rows

	df_index	Id	MSSubClass	MSZoning	LotFrontage	LotArea	LotShape	LandContour	LotConfig	Neighborhood	BldgType	HouseStyle	OverallQual	OverallCond	YearBuilt	RoofStyle	Exterior1st	MasVnrType	ExterQual	ExterCond	Foundation	BsmtQual	BsmtCond	BsmtExposure	BsmtFinType1	BsmtFinSF1	BsmtFinType2	BsmtUnfSF	TotalBsmtSF	HeatingQC	1stFlrSF	GrLivArea	BsmtFullBath	FullBath	HalfBath	BedroomAbvGr	KitchenQual	TotRmsAbvGrd	Fireplaces	GarageType	GarageFinish	GarageCars	GarageArea	GarageQual	GarageCond	PavedDrive	SalePrice	size
1283	1447	1448	60	RL	80.0	10000	Reg	Lvl	Inside	CollgCr	1Fam	2Story	8	5	1995	Gable	VinylSd	BrkFace	Gd	TA	PConc	Gd	TA	No	GLQ	1079	Unf	141	1220	Ex	1220	2090	1	2	1	3	Gd	8	1	Attchd	RFn	2	556	TA	TA	Y	240000	large
1284	1448	1449	50	RL	70.0	11767	Reg	Lvl	Inside	Edwards	1Fam	2Story	4	7	1910	Gable	MetalSd	None	TA	TA	CBlock	Fa	TA	No	Unf	0	Unf	560	560	Gd	796	1346	0	1	1	2	TA	6	0	Detchd	Unf	1	384	Fa	TA	Y	112000	large
1285	1451	1452	20	RL	78.0	9262	Reg	Lvl	Inside	Somerst	1Fam	1Story	8	5	2008	Gable	CemntBd	Stone	Gd	TA	PConc	Gd	TA	No	Unf	0	Unf	1573	1573	Ex	1578	1578	0	2	0	3	Ex	7	1	Attchd	Fin	3	840	TA	TA	Y	287090	medium
1286	1452	1453	180	RM	35.0	3675	Reg	Lvl	Inside	Edwards	TwnhsE	SLvl	5	5	2005	Gable	VinylSd	BrkFace	TA	TA	PConc	Gd	TA	Gd	GLQ	547	Unf	0	547	Gd	1072	1072	1	1	0	2	TA	5	0	Basment	Fin	2	525	TA	TA	Y	145000	small
1287	1454	1455	20	FV	62.0	7500	Reg	Lvl	Inside	Somerst	1Fam	1Story	7	5	2004	Gable	VinylSd	None	Gd	TA	PConc	Gd	TA	No	GLQ	410	Unf	811	1221	Ex	1221	1221	1	2	0	2	Gd	6	0	Attchd	RFn	2	400	TA	TA	Y	185000	medium
1288	1455	1456	60	RL	62.0	7917	Reg	Lvl	Inside	Gilbert	1Fam	2Story	6	5	1999	Gable	VinylSd	None	TA	TA	PConc	Gd	TA	No	Unf	0	Unf	953	953	Ex	953	1647	0	2	1	3	TA	7	1	Attchd	RFn	2	460	TA	TA	Y	175000	medium
1289	1456	1457	20	RL	85.0	13175	Reg	Lvl	Inside	NWAmes	1Fam	1Story	6	6	1978	Gable	Plywood	Stone	TA	TA	CBlock	Gd	TA	No	ALQ	790	Rec	589	1542	TA	2073	2073	1	2	0	3	TA	7	2	Attchd	Unf	2	500	TA	TA	Y	210000	large
1290	1457	1458	70	RL	66.0	9042	Reg	Lvl	Inside	Crawfor	1Fam	2Story	7	9	1941	Gable	CemntBd	None	Ex	Gd	Stone	TA	Gd	No	GLQ	275	Unf	877	1152	Ex	1188	2340	0	2	0	4	Gd	9	2	Attchd	RFn	1	252	TA	TA	Y	266500	medium
1291	1458	1459	20	RL	68.0	9717	Reg	Lvl	Inside	NAmes	1Fam	1Story	5	6	1950	Hip	MetalSd	None	TA	TA	CBlock	TA	TA	Mn	GLQ	49	Rec	0	1078	Gd	1078	1078	1	1	0	2	Gd	5	0	Attchd	Unf	1	240	TA	TA	Y	142125	medium
1292	1459	1460	20	RL	75.0	9937	Reg	Lvl	Inside	Edwards	1Fam	1Story	5	6	1965	Gable	HdBoard	None	Gd	TA	CBlock	TA	TA	No	BLQ	830	LwQ	136	1256	Gd	1256	1256	1	1	1	3	TA	6	0	Attchd	Fin	1	276	TA	TA	Y	147500	medium

Overview

Variables

Common Values

Length

Category Frequency Plot

Most occurring characters

Most occurring categories

Most frequent character per category

Uppercase Letter

Lowercase Letter

Space Separator

Open Punctuation

Close Punctuation

Most occurring scripts

Most frequent character per script

Latin

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Category Frequency Plot

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Uppercase Letter

Lowercase Letter

Most occurring scripts

Most frequent character per script

Latin

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Category Frequency Plot

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Uppercase Letter

Most occurring scripts

Most frequent character per script

Latin

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Category Frequency Plot

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Uppercase Letter

Decimal Number

Most occurring scripts

Most frequent character per script

Latin

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Uppercase Letter

Most occurring scripts

Most frequent character per script

Latin

Most occurring blocks

Most frequent character per block

ASCII

Common Values